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catalyst/zipline/finance/slippage.py
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Python

#
# Copyright 2015 Quantopian, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from __future__ import division
import abc
import math
from six import with_metaclass
from zipline.finance.transaction import create_transaction
SELL = 1 << 0
BUY = 1 << 1
STOP = 1 << 2
LIMIT = 1 << 3
class LiquidityExceeded(Exception):
pass
DEFAULT_VOLUME_SLIPPAGE_BAR_LIMIT = 0.025
class SlippageModel(with_metaclass(abc.ABCMeta)):
"""Abstract interface for defining a slippage model.
"""
def __init__(self):
self._volume_for_bar = 0
@property
def volume_for_bar(self):
return self._volume_for_bar
@abc.abstractproperty
def process_order(self, data, order):
"""Process how orders get filled.
Parameters
----------
data : BarData
The data for the given bar.
order : Order
The order to simulate.
Returns
-------
execution_price : float
The price to execute the trade at.
execution_volume : int
The number of shares that could be filled. This may not be all
the shares ordered in which case the order will be filled over
multiple bars.
"""
pass
def simulate(self, data, asset, orders_for_asset):
self._volume_for_bar = 0
volume = data.current(asset, "volume")
if volume == 0:
return
# can use the close price, since we verified there's volume in this
# bar.
price = data.current(asset, "close")
dt = data.current_dt
for order in orders_for_asset:
if order.open_amount == 0:
continue
order.check_triggers(price, dt)
if not order.triggered:
continue
txn = None
try:
execution_price, execution_volume = \
self.process_order(data, order)
if execution_price is not None:
txn = create_transaction(
order,
data.current_dt,
execution_price,
execution_volume
)
except LiquidityExceeded:
break
if txn:
self._volume_for_bar += abs(txn.amount)
yield order, txn
def __call__(self, bar_data, asset, current_orders):
return self.simulate(bar_data, asset, current_orders)
class VolumeShareSlippage(SlippageModel):
"""Model slippage as a function of the volume of shares traded.
"""
def __init__(self, volume_limit=DEFAULT_VOLUME_SLIPPAGE_BAR_LIMIT,
price_impact=0.1):
self.volume_limit = volume_limit
self.price_impact = price_impact
super(VolumeShareSlippage, self).__init__()
def __repr__(self):
return """
{class_name}(
volume_limit={volume_limit},
price_impact={price_impact})
""".strip().format(class_name=self.__class__.__name__,
volume_limit=self.volume_limit,
price_impact=self.price_impact)
def process_order(self, data, order):
volume = data.current(order.asset, "volume")
max_volume = self.volume_limit * volume
# price impact accounts for the total volume of transactions
# created against the current minute bar
remaining_volume = max_volume - self.volume_for_bar
if remaining_volume < 1:
# we can't fill any more transactions
raise LiquidityExceeded()
# the current order amount will be the min of the
# volume available in the bar or the open amount.
cur_volume = int(min(remaining_volume, abs(order.open_amount)))
if cur_volume < 1:
return None, None
# tally the current amount into our total amount ordered.
# total amount will be used to calculate price impact
total_volume = self.volume_for_bar + cur_volume
volume_share = min(total_volume / volume,
self.volume_limit)
price = data.current(order.asset, "close")
simulated_impact = volume_share ** 2 \
* math.copysign(self.price_impact, order.direction) \
* price
impacted_price = price + simulated_impact
if order.limit:
# this is tricky! if an order with a limit price has reached
# the limit price, we will try to fill the order. do not fill
# these shares if the impacted price is worse than the limit
# price. return early to avoid creating the transaction.
# buy order is worse if the impacted price is greater than
# the limit price. sell order is worse if the impacted price
# is less than the limit price
if (order.direction > 0 and impacted_price > order.limit) or \
(order.direction < 0 and impacted_price < order.limit):
return None, None
return (
impacted_price,
math.copysign(cur_volume, order.direction)
)
class FixedSlippage(SlippageModel):
"""Model slippage as a fixed spread.
Parameters
----------
spread : float, optional
spread / 2 will be added to buys and subtracted from sells.
"""
def __init__(self, spread=0.0):
self.spread = spread
def process_order(self, data, order):
price = data.current(order.asset, "close")
return (
price + (self.spread / 2.0 * order.direction),
order.amount
)